Design and application of dynamic environmental knowledge base

作者：Lu, Shuping; Yi, Wei; Cui, Guolong; Kong, Lingjiang^*; Yang, Xiaobo

来源：IET Radar Sonar and Navigation, 2016, 10(6): 1118-1126.

DOI：10.1049/iet-rsn.2015.0516

• environmental factors
• radar signal processing
• radar detection
• FM radar
• CW radar
• two-stage approach
• DEKB
• signal processing
• radar system design
• dynamic environmental knowledge base
• static environmental knowledge base
• SEKB
• sensor
• Anderson-Darling testing
• constant false alarm rate detector
• linear frequency-modulated continues wave radar
• cell averaging CFAR detector
• KB CFAR detector

The authors propose a two-stage approach to design radar dynamic environmental knowledge base (DEKB), which provides a priori information for knowledge-based (KB) signal processing and radar system design. Specifically, the first stage is to use historical knowledge such as maps to establish the static environmental knowledge base (SEKB), which is the initial state of the DEKB. The second stage is to employ radar returns and other sensors information to update the knowledge base dynamically. Moreover, an exemplar establishment of the SEKB based on real scene and a specific update method based on two Anderson-Darling tests are introduced. Finally, as an application of the DEKB, the authors present a new KB constant false alarm rate (CFAR) detector utilising multidimensional knowledge from the DEKB. The performance of the new detector is analysed by real radar data, collected by a linear frequency-modulated continues wave radar, and compared with the classical cell averaging CFAR detector and the KB CFAR detector which uses only one kind of knowledge.

• 出版日期2016-7
• 单位电子科技大学